MacBook Pro (16-inch, 2021)
Geekbench AI Score
3761
Single Precision Score
16541
Half Precision Score
16305
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | GBMann |
| Upload Date | November 11 2024 01:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1318
245.1 IPS |
|
|
Image Classification (HP)
|
100% |
7033
1.31 KIPS |
|
|
Image Classification (Q)
|
96% |
6682
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1613
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9825
159.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10462
169.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11333
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
71305
83.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
66641
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
1590
126.1 IPS |
|
|
Object Detection (HP)
|
99% |
8114
645.5 IPS |
|
|
Object Detection (Q)
|
91% |
7543
602.8 IPS |
|
|
Face Detection (SP)
|
100% |
3236
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
16440
195.3 IPS |
|
|
Face Detection (Q)
|
100% |
14699
174.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5865
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
52422
403.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
53674
419.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22392
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120461
154.9 IPS |
|
|
Style Transfer (Q)
|
96% |
116543
150.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4389
162.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26229
968.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28313
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2315
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4010
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4085
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3427
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3513
60.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3554
61.4 IPS |
